Containers

Category: Storage

Using SBOM to find vulnerable container images running on Amazon EKS clusters

Introduction When you purchase a packaged food item in your local grocery store, you probably check the list of ingredients written to understand what’s inside and make sure you aren’t consuming ingredients inadvertently that you don’t want to or are known to have adverse health effects. Do you think in a similar way when you […]

How Quora modernized MLOps on Amazon EKS to improve customer experience with scalable ML applications

This blog post was co-written by Lida Li of Quora Introduction Quora is a leading Q&A platform with a mission to share and grow the world’s knowledge, serving hundreds of millions of users worldwide every month. Quora uses machine learning (ML) to generate a custom feed of questions, answers, and content recommendations based on each […]

Announcing General Availability of Amazon EKS Anywhere on Snow

This is the beginning of a beautiful friendship; a tale of two cloud services, traveling down two seemingly independent paths, destined to converge. But first, a brief history: Since their launch in November of 2018, AWS Snowball Edge devices have been used to run applications for data processing, analytics, and machine learning in remote or […]

Deploying IPFS Cluster using AWS Fargate and Amazon EFS One Zone

Deploying IPFS Cluster using AWS Fargate and Amazon EFS One Zone

Introduction Image source: https://ipfscluster.io/ IPFS (InterPlanetary File System) is a popular decentralized storage solution used for many use cases like decentralized applications, p2p data sharing, or immutable file systems. For more usage ideas see these examples. IPFS Cluster is another application that runs alongside IPFS and provides data orchestration across a swarm of IPFS daemons […]

Getting visibility into your Amazon EKS Cross-AZ pod to pod network bytes

Getting visibility into your Amazon EKS Cross-AZ pod to pod network bytes

Introduction Many customers use Amazon Elastic Kubernetes Service (Amazon EKS) to host their mission-critical applications. As a best practice, we ask our customers to spread their applications across multiple distinct availability zones (AZ). Because “everything fails all the time,” Werner Vogel, CTO, Amazon To achieve high availability, customers deploy Amazon EKS worker nodes (Amazon EC2 […]

Run event-driven workflows with Amazon EKS and AWS Step Functions

Introduction Event-driven computing is a common pattern in modern application development with microservices, which is a great fit for building resilient and scalable software in AWS. Event-driven computing needs to be push-based with event-driven applications that are run on-demand when an event triggers the functional workflow. Tools that help you minimize resource usage and reduce […]

How to containerize legacy code into Red Hat OpenShift on AWS (ROSA)

Introduction Enterprise customers have trained their IT staff on legacy programming languages, like COBOL, for decades. These legacy programs have stood the test of time and still run many mission-critical business applications which are typical for these legacy platforms. While various migration solutions like  AWS Blu Age and AWS Micro Focus Enterprise technology exist for […]

Using Amazon EBS snapshots for persistent storage with your Amazon EKS cluster by leveraging add-ons

Using Amazon EBS snapshots for persistent storage with your Amazon EKS cluster by leveraging add-ons

Originally, containers were a great fit for stateless applications. However, for many use cases there is a need for persistent storage, without which stateful workloads aren’t possible. Kubernetes first introduced support for stateful workloads with in-tree volume plugins, meaning that the plugin code was part of the core Kubernetes code and shipped with the Kubernetes […]

Using Amazon ECS with NVIDIA GPUs to accelerate drug discovery

Using Amazon ECS with NVIDIA GPUs to accelerate drug discovery

This post was written in collaboration with Neel Patel, Drug Discovery Scientist, Nvidia. Drug discovery is the process through which potential new medicines are identified. It involves a wide range of scientific disciplines, including biology, chemistry, and pharmacology, as well as computer science. AstraZeneca and NVIDIA collaborated on developing MegaMolBART so the computational drug discovery process […]

Diagram of of the QMaaS data processing pipeline

Athenahealth QMaaS: Optimizing throughput and costs with Amazon ECS & EC2 Spot

Karthik Kalkur, Senior Architect, Athenahealth, Jayaprakash Alawala, Specialist Solution Architect (Containers), AWS, and Sridhar Bharadwaj, Sr EC2 Spot Specialist, AWS This guest blog post is contributed by Karthik Kalkur, a Senior Architect at athenahealth, in partnership with AWS Specialist Solution Architect for Containers, Jayaprakash Alawala, and AWS Sr. EC2 Spot Specialist, Sridhar Bharadwaj. Athenahealth is […]